Texygen: A Benchmarking Platform for Text Generation Models

6 Feb 2018 Yaoming Zhu Sidi Lu Lei Zheng Jiaxian Guo Wei-Nan Zhang Jun Wang Yong Yu

We introduce Texygen, a benchmarking platform to support research on open-domain text generation models. Texygen has not only implemented a majority of text generation models, but also covered a set of metrics that evaluate the diversity, the quality and the consistency of the generated texts... (read more)

PDF Abstract

Datasets


Introduced in the Paper:

Texygen Platform

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet